Covariate selection methods comparison, introducing the feature of a prior

Selecting the most externally predictive covariate of two correlated covariates can be difficult. In this study, we investigated 3 different covariate selection methods with respect to their predictive performance: a modified Stepwise Covariate Modelling (SCM), Full Fixed Effects Model (FFEM) and Prior-Adjusted Covariate Selection (PACS). The selection for SCM is agnostic (i.e. only data driven) […]